This paper describes a hierarchical evolutionary technique developed to design and train
feedforward neural networks with different activation functions on their hidden-layer neurons …

In this paper we investigate the use of neuron-specific activation functions (AFs) within
generalized multilayer perceptrons (GMLP). We utilize the netGEN system not only to evolve …

The creation of anatomically correct three-dimensional joints for the simulation of humans is
a complex process, a key difficulty being the correction of invalid joint configurations to the …

論文抄録 本論文では, ウイルス感染を用いた遺伝的アルゴリズムによるニューラルネットワークの
学習方法を提案する. GA では個体集団全体での多様性を維持する方法の 1 つとして …

Biological neural networks having been shaped in billions of years of evolution are the
source of numerous, complex capabilities of living organisms. Especially, the form of …

This paper describes an effort on the characterization of cooperative fuzzy neural networks
(CFNNs). CFNNs encompass any conceptual or architectural aggregate in which two or …

Predicting the class membership of a set of patterns represented by points in a multi-
dimensional space critically depends on their specific distribution. To improve the …

We use neuroevolution to construct nonlinear transformation functions for feature
construction that map points in the original feature space to augmented pattern vectors and …

Y Resposta: Porque as seguintes características (isoladas ou em conjunto) impedem o uso
ou degradam o efeito da aplicação de algoritmos clássicos: intratabilidade matemática, não …